Data Engineer II
$115k - $125kReUp Education
What we do
- Founded in 2015, ReUp Education is the only organization that focuses exclusively on helping colleges and universities engage and re-enroll the more than 40 million US residents who have "stopped out" and support them until graduation, through our patented technology-enabled service. To date, we have re-enrolled over 57,000 students for our university partners. As of July 2025, ReUp Education partners with 140 active schools and a total of 1.78 million learners. To date, ReUp Education has helped 7,960 learners graduate. Today we build regional marketplaces to connect the supply of educational opportunities with the demand for skilled and credentialed workforce professionals.
- ReUp Education is looking for a Data Engineer II to help us empower more adult learners and educational institutions by scaling and optimizing our data platform.
- In this role, you'll design, build and maintain robust data pipelines and warehouses to support business intelligence products, ML models, cloud-based web applications, and marketing and coaching services. You'll collaborate with Data Scientists, Product Managers, and other cross-functional stakeholders to ensure quality data is accessible across the organization.
- This is an opportunity to build a modern data ecosystem in a mission-driven organization.
- Develop and maintain scalable, high-performance data pipelines to ingest and process large volumes of student and institutional data.
- Design and optimize data models in data warehouses to power business intelligence products, ML models, cloud-based web applications, and marketing and coaching services.
- Implement validation, testing, and monitoring frameworks to ensure data quality.
- Improve the performance, reliability and automation of data workflows.
- Monitor and troubleshoot production data systems to ensure reliability and uptime.
- Translate business requirements into scalable, maintainable data solutions.
- Create and maintain clear documentation for data pipelines, models, and processes.
- 2+ years of data engineering experience.
- Strong proficiency in SQL and Python.
- Experience working with cloud data platforms such as AWS, and data warehouses such as Redshift or Snowflake.
- Experience working with orchestration tools such as Airflow.
- Solid understanding of relational and non-relational database design.
- Experience with Git and CI/CD best practices.
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical discipline.
- Strong communication, collaboration, and problem solving skills.
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- Nice to have(s):
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- Familiarity with BI tools such as Tableau or CRM platforms such as Salesforce.
- Exposure to supporting predictive analytics or machine learning workflows.
- Experience with Agile engineering practices.
- Experience working in higher education, education technology, and/or a startup.
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- Compensation : Base Salary between $115,00-$125,000 commensurate with experience
- Medical, dental, and vision insurance for employees
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- We pay 100% of the employee's premium and 50% of any dependents' premiums
- Contribute up to $1000 to employee HSA/$2000 to employee + dependent HSA
- PPO Buy-up plan available
- FSA available
- Company paid short-term disability, long-term disability, and life insurance for employee
- Flexible time off and remote work opportunity
- Up to 80 hours of dedicated sick time annually to support your well-being and work-life balance
- 15 paid holidays per year (including Juneteenth and the last week of the calendar year)
- Company wellness days (2 per year)
- Day of Service (Paid day for volunteering)
- 401(k) plan
- Paid parental leave (12 weeks primary parental leave, 6 weeks secondary parental leave)
- A diverse team that fosters a high level of collaboration despite being highly distributed
- We provide your choice of a Mac or PC laptop
- Hybrid : This hybrid role can combine the best of both worlds: in-person collaboration in our Austin, TX office for 2-3 days per week, and the flexibility of remote work.
Vacancy posted 4 days ago
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